In the last years, gait phase partitioning has come to be a challenging research topic due to
its impact on several applications related to gait technologies. A variety of sensors can be …

Gait assessment is an essential tool for clinical applications not only to diagnose different
neurological conditions but also to monitor disease progression as it contributes to the …

This second edition of The Illustrated Wavelet Transform Handbook: Introductory Theory and
Applications in Science, Engineering, Medicine and Finance has been fully updated and …

Background The quantification of gait temporal parameters (ie step time, stance time) is
crucial in human motion analysis and requires the accurate identification of gait events (ie …

Changes in gait patterns provide important information about individuals' health. To perform
sensor based gait analysis, it is crucial to develop methodologies to automatically segment …

Robust gait segmentation is the basis for mobile gait analysis. A range of methods have
been applied and evaluated for gait segmentation of healthy and pathological gait bouts …

Background: Gait is often impaired in people after stroke, restricting personal independence
and affecting quality of life. During stroke rehabilitation, walking capacity is conventionally …

Detection of abnormal gait patterns using wearable sensors remains a major challenge in
clinical gait analysis and rehabilitation field. Despite the success of recent researches using …

Wearable inertial measurement units (IMUs) are used in gait analysis due to their discrete
wearable attachment and long data recording possibilities within indoor and outdoor …

For a lower limb exoskeleton, accurate and continuous estimation of the gait phase in real
time is a fundamental requirement to provide a well-tailored assistive action at the proper …